Triple
T7620260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokolica peak |
E172472
|
entity |
| Predicate | hasTrailMarking |
P14031
|
FINISHED |
| Object | Polish tourist trail markings |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Polish tourist trail markings | Statement: [Sokolica peak, hasTrailMarking, Polish tourist trail markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailMarking Context triple: [Sokolica peak, hasTrailMarking, Polish tourist trail markings]
-
A.
colorOfTrailMarkings
chosen
Indicates the relationship specifying what color the trail’s markings are.
-
B.
trailsMarkedBy
Indicates that a trail or path is designated or identified by specific markers, signs, or blazes placed along its route.
-
C.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
E.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.